The purpose of this study is to evaluate the feasibility of an evidence-based system to recommend core interventions, before the beginning of treatment, to psychotherapists treating low-income patients with depressive or anxiety disorders.

After providing a written inform consent, potential patients will undergo a 2-weeks screening period to determine if they meet eligibility criteria. Baseline information (i.e., derived from semi-structured intake interviews and baseline clinical measures) from patients who meet eligibility criteria and consent to participate in the study, will be use to feed a machine learning algorithm, developed in a previous study, to perform individual predictions and determine which interventions (i.e., cognitive, behavioral, interpersonal, or patient-centered) will be recommended for the individual patient. This recommendation (i.e., about the most personally well-suited intervention for a given patient) will be provided to therapists before the beginning of treatment. Patients will be treated with 15 sessions of psychotherapy. The investigators will examine the extent to which therapists adhered to the recommended interventions as the primary outcome. The investigators will also examine patient symptomatic/functional improvement as a secondary outcome.

Inclusion Criteria:

• Diagnoses of a depressive disorder (i.e., major depressive disorder or dysthymic disorder) or an anxiety disorder (i.e., specific phobia, social anxiety disorder, panic disorder, agoraphobia or generalized anxiety disorder) determined with the Mini-International Neuropsychiatric Interview (MINI)
• A score of at least two (mild) in any the five items from the depression and anxiety domains of the DSM-5 Self-Rated Level 1 Cross-Cutting Symptom Measure-Adult
• A total family income below the poverty index threshold, determined by a Licensed Social Worker
• Aged 18 to 65
• Fluency in Spanish language
• Capacity to consent

Exclusion Criteria:

• Psychosis
• Mania
• Suicidal ideation with intent and/or plan
• Substance abuse disorders
• History of organic mental disease.

We will share individual participant data (IPD) underlying the results of publications of the project, upon request. Furthermore, following the particular scientific journals' standards, we will share analytic code of published results.

Upon request, we will start sharing IPD 6 months after the publication of the main outcome paper in a peer-reviewed scientific journal. We will maintain our de-identified database indefinitely for potential future requests.

For meta-analyses or replications, we will share de-identified IPD, an associated data dictionary, and supporting information to scientific colleagues showing a track record of publications in psychotherapy research following ethical guidelines. We can also share IPD for secondary analyses, grounded on previously agreed collaborations and under a clear establishment of manuscript authorship arrangements.

Requests should be send via email to the PI, Dr. Juan Martín Gómez Penedo (jmgomezpenedo@gmail.com). If the data usage details are unclear or questionable Dr. Gómez Penedo reserves the right to deny individual data share requests.